Cloud hosting has been relevant in the computing world for ages now. But with ever-increasing demand and data increasing exponentially normal cloud server hosting is not enough. As small businesses along with large ones migrating over the cloud, the cloud space started getting to exhaust. This gave birth to the concept of elastic computing.

So what is exactly elastic computing? As the name suggests it the most suitable and elastic computing that the human race can cherish. Although different businesses have unique models and work differently, yet elasticity is a demand common to all.

Resources of such a cloud hosting server never deplete and works as a fuel to it. Its best for organizations that go through a constant surge in data. As elasticity is the defining difference between a non-mature and a mature business module. Elastic computing brings in its numerous benefits and transforms your business from head to toe.

Why elastic computing termed as on-demand computing?

  - It’s very difficult to rely on a computing server service that takes care of your business from tip to toe. Being a business owner, you might have to go through uncertain and sudden bandwidth spikes. This happens when a bulk of traffic diverts to a particular website or application due to some of the other reasons. This is a very time to time occurrence for an e-commerce website wherein users suddenly come in bulk whenever a seasonal sale is announced. During these times only your business asks for extra computations and this is referred to as on-demand computing. Scaling up during these times is the primary requirement during such a spike in the traffic. This also comprises the chances of predictive scaling which brings even more elasticity into your computing. The concept of predictive scaling is so intimidating and makes elastic computing desirable. The predictive scaling is such an intelligent way of computing, it predicts itself any upcoming surge and scales up the server capacity. Although this scaling up is for that expected period of time during which there is an actual rise in the traffic. These are generally those peak business

Is elastic computing very costly?

  - What is the major requirement of a user? First definitely is quality service and second to that is affordable pricing. Getting satisfied on both the grounds is very difficult for the same kind of computing package. Either computing can be a quality one and thus will be costly. But otherwise, it is the other way around. Now we have elastic computing, there is no need to worry about the cost and quality as one gets both on the same platform.

Thus elastic computing is one of the best values for money service developed to date. There were times when there was a need to produce or test servers during the night or odd hours when there is no staff available. With the algorithm set within the automation of elastic computing. The algorithm revolves around auto-scaling where it turns off when not in use or required and turns on during the main business hours.

How does common coding of elastic computing benefits?

-Infrastructure based on the code has made the coding environment much more secured and threat free. Coding is done Python, XML, etc. or files based on them are near to impossible to interpret. This has led to a free flow of knowledge without any threat to the source of the code. Hence, the common coding background of elastic computing makes it even more staunch and reliable. This gives an edge to the availability of the language to the maximum number of developers. Not only this, the usability of such common coding languages. There are no such problems arise from cloud elasticity as more and more number of developers working on the same coding frame.

Is fault tolerance any better with elastic computing?

  - Computing is more desirable when it has improved fault tolerance. First to understand what exactly is fault tolerance, so is the ability of the system to stay functional even at times of interruption or even at times of any one of the components fail. Elastic computing has the specialty of providing improved and next level fault tolerance. Autoscaling also helps in monitoring the failing server and deciding to deploy which server and when beforehand. The best part is that such a level of fault tolerance is achieved in the absence of even a single human. The components of such cloud server hosting are easily detachable just by the deployment of copies of a cloud server. An elastic cloud hosting came up “always-on” trend and within no time. 

How is elastic computing is implemented?

  - The cloud server host is very easy to implement and the process or practice it follows is very easy to follow. Nonetheless, the cloud server hosting providers provides all of their users with an ample amount of documentation. 

But the fact cannot be denied that any system designed for what so purpose cannot exist with zero drawbacks. As it is elastic computing is new to so many experts in the cloud hosting domain, errors are very natural to happen. Although there is a very large room or hall for learning and development but the time that it may require needs a lot of patience.

A hassle-free cloud environment with top-notch security is a dream not very far away but companies still struggle in managing that level of regulation.

Also, the shared model of privacy and compliances keeps both the cloud hosting provider and the organization at a vulnerable state.

Nevertheless, elastic computing remains a favorite for so many developers. Activating and deactivating computer resources on demand according to the changing workloads seems like a next age technology and unreal at times. The infrastructure is so real and performs based on real-time issues rather than relying on future steps taken. If it comes to rate the technology on 10, then we would rate it 9 as there is always a scope for improvement.

Read More at : What is Cloud Computing?